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env.py
28
env.py
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@ -13,6 +13,7 @@ class Env(ap.Model):
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percent_search: float
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n_worker: int
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n_firm: int
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e_revenue: float
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a_lst_worker: ap.AgentList
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a_lst_firm: ap.AgentList
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@ -25,6 +26,7 @@ class Env(ap.Model):
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# 工人、企业列表
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self.a_lst_worker = ap.AgentList(self)
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self.a_lst_firm = ap.AgentList(self)
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self.e_revenue = 119.3
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# 在工人列表中添加工人
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for i in range(self.n_worker):
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@ -32,13 +34,23 @@ class Env(ap.Model):
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w = WorkerAgent(self, self.p.alpha)
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self.a_lst_worker.append(w)
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# 在企业列表中添加企业
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# 在企业列表中添加企业，放入一个is_RH_ratio, 即有多大比例的企业是属于RH类型的
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for i in range(self.n_firm):
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f = FirmAgent(self)
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# 对于企业属性true or false 的判断， 影响到firm 板块下， self.s_IsRH = is_RH 语句的判断
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f = FirmAgent(self, self.p.is_RH_ratio >= uniform(0, 1))
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self.a_lst_firm.append(f)
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def update_e_revenue(self):
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self.e_revenue += 0.01 * self.e_revenue
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def step(self):
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self.update_e_revenue()
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# 先清空每次的选择列表
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self.a_lst_firm.empty_apply()
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# 一开始worker要去选择很多firm
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self.a_lst_worker.select_firm()
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# 第二步， firm 去选 worker
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self.a_lst_firm.select_worker()
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if self.t == 100:
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self.stop()
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@ -59,18 +71,20 @@ class Env(ap.Model):
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a_lst_select_firms = self.a_lst_firm.random(n_select_firms)
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if the_worker.s_is_hired:
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if the_worker.working_firm in a_lst_select_firms:
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lst_f = self.a_lst_firm.to_list()
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# 转换为 list
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lst_f = list(self.a_lst_firm)
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lst_f.remove(the_worker.working_firm)
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return ap.AgentList(self, lst_f).random(n_select_firms)
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else:
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return ap.AgentList(self, a_lst_select_firms)
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# 假如以上都不满足， 直接返回
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return ap.AgentList(self, a_lst_select_firms)
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if __name__ == '__main__':
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dict_para = {'n_worker': 100,
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'n_firm': 10,
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'n_firm': 20,
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'percent_search': 0.2,
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'alpha': 0.5}
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'alpha': 0.5,
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'is_RH_ratio': 0.5}
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my_model = Env(dict_para)
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my_model.run()
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163
firm.py
163
firm.py
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@ -1,105 +1,138 @@
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import math
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from typing import Union, Any
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import agentpy as ap
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from random import uniform, randint
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from typing import TYPE_CHECKING
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import numpy as np
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if TYPE_CHECKING:
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from worker import WorkerAgent
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class FirmAgent(ap.Agent):
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c_incentive: float
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s_IsRH: bool
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s_a_senior_yield: float
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s_a_junior_yield: float
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s_avg_senior_yield: float
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s_avg_junior_yield: float
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s_a_yield: float
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s_salary: float
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# s_salary: float
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initial_f_salary: float
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s_revenue: float
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s_profit: float
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l_senior_workers: list
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l_junior_workers: list
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l_applied_workers: list
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def setup(self):
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def setup(self, is_RH):
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self.c_incentive = uniform(0, 1)
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self.s_profit = randint(10, 20)
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# self.s_profit = randint(10, 20)
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self.l_applied_workers = []
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self.s_IsRH = is_RH
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self.initial_f_salary = randint(8000, 10000)
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def apply(self, the_worker):
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self.l_applied_workers.append(the_worker)
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def empty_apply(self):
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self.l_applied_workers = []
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def select_worker(self):
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'''
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企业找到最想招聘的员工
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:return:
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'''
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n_a_firms = len(self.l_applied_workers)
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# 对员工产出进行排队和比较
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max_s_yield: float
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max_s_yield, best_worker = 0, None
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for i in self.l_applied_workers:
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y = max_s_yield
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if y > max_s_yield:
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max_s_yield = y
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best_worker = i
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# print(f'{self}: my best firm is {best_firm} from {n_firms} firms with utility {max_utility}')
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# return best_worker
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# 当企业是想要利用产出最高的员工时，从申请的员工中选出产出最高的员工
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'''if self.s_IsRH :
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# 计算该名员工的工资水平： 原有工资水平* （1+incentive）
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bw_salary = self.best_worker.salary()
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# 将该名员工的产出与公司原有员工的产出进行对比，如果高于senior列表中的最后一名的产出，就进入senior_list, 否则进入junior_list
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self.l_senior_workers.append(best_worker)
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n_workers = len(self.l_applied_workers)
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if n_workers > 0:
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selected_worker = None
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if n_workers > 1:
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# 对员工产出进行排队和比较
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# 先判断是什么选择方式
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if self.s_IsRH:
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max_s_yield, best_worker = 0.0, None
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for the_worker in self.l_applied_workers:
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if the_worker.s_yield > max_s_yield:
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max_s_yield = the_worker.s_yield
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best_worker = the_worker
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selected_worker = best_worker
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else:
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selected_worker = self.l_applied_workers[0] # TODO
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# print(f'{self}: my best firm is {best_firm} from {n_firms} firms with utility {max_utility}')
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# return best_worker
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# 当企业是想要利用产出最高的员工时，从申请的员工中选出产出最高的员工
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# if self.s_IsRH :
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# # 计算该名员工的工资水平： 原有工资水平* （1+incentive）
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# # bw_salary = self.best_worker.salary()
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#
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# # 将该名员工的产出与公司原有员工的产出进行对比，如果高于senior列表中的最后一名的产出，就进入senior_list, 否则进入junior_list
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# self.l_senior_workers.append(best_worker)
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# else:
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# self.l_junior_workers.append(best_worker)
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# # best_worker.apply(self)
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# else:
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# # 计算由于改名员工下一期的薪资总数（根据薪资函数更新）以及企业下一期的利润的差值，并选出最大值
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else:
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self.l_junior_workers.append(best_worker)
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# best_worker.apply(self)
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selected_worker = self.l_applied_workers[0]
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selected_worker.update_working_firm_is_hired(self)
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self.update_two_worker_list(selected_worker)
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def update_two_worker_list(self, new_worker):
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lst_all_worker = self.l_senior_workers + self.l_junior_workers + [new_worker]
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lst_sorted = lst_all_worker.sort(key=lambda x: x['s_yield'], reverse=True) # from highest yield to lowest
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n_all_worker = len(lst_all_worker)
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# 向上取整数值
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n_senior_worker = math.ceil(n_all_worker * 0.2)
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n_junior_worker = n_all_worker - n_senior_worker
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self.l_senior_workers = lst_sorted[:n_senior_worker]
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if n_junior_worker == 0:
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self.l_junior_workers = []
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else:
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# 计算由于改名员工下一期的薪资总数（根据薪资函数更新）以及企业下一期的利润的差值，并选出最大值
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'''
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self.l_junior_workers = lst_sorted[n_senior_worker:]
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def S_a_Yield(self):
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# 更新总产出
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# s_total_senior_yield = self.s_a_senior_yield * len(self.l_senior_workers)
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# s_total_junior_yield = self.s_a_junior_yield * len(self.l_senior_workers)
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l_s_workers = self.l_senior_workers
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l_j_workers = self.l_junior_workers
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# s_a_yield = s_total_yield / len(self.l_senior_workers + self.l_junior_workers)
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s_total_senior_yield, s_total_junior_yield = 0, 0
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'''for i in range(len(self.l_senior_workers)):
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# 加入工人主体的产出属性
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s_total_senior_yield += '工人的yield'
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for i in range (len(self.l_junior_workers)):
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s_total_junior_yield += '工人的yield'
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s_a_senior_yield = s_total_senior_yield / len(l_s_workers)
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s_a_junior_yield = s_total_junior_yield / len(l_j_workers)
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s_a_yield = 0.8*s_a_senior_yield+0.2*s_a_junior_yield
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return s_a_yield
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'''
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return
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def update_yields(self): # 需要改
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n_sw, n_jw = len(self.l_senior_workers), len(self.l_junior_workers)
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# acc_all_yield = 0
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def LogitShare(self):
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'''
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self.logitshare = exp(S_a_Yield)/ np.sum(exp(S_a_Yield))
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:return:
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'''
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return
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if n_sw == 0:
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self.s_avg_senior_yield = 0
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else:
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s_acc_senior_yield = 0
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for sw in self.l_senior_workers:
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# 加入工人主体的产出属性
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s_acc_senior_yield += sw.s_yield
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# acc_all_yield += sw.s_yield
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self.s_avg_senior_yield = s_acc_senior_yield / n_sw
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def Sum_salary(self, l_senior_workers, l_junior_workers):
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if n_jw == 0:
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self.s_avg_junior_yield = 0
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else:
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s_acc_junior_yield = 0
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for jw in self.l_junior_workers:
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# 加入工人主体的产出属性
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s_acc_junior_yield += jw.s_yield
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self.s_avg_junior_yield = s_acc_junior_yield / n_jw
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self.s_a_yield = 0.8 * self.s_avg_senior_yield + 0.2 * self.s_avg_junior_yield
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def logit_share(self):
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logit_share = math.exp(self.s_a_yield) / np.sum(math.exp(self.s_a_yield))
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return logit_share
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def sum_salary(self, l_senior_workers, l_junior_workers):
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'''
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计算某公司整体的薪金水平
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'''
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l_all_workers = l_senior_workers + l_junior_workers
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for i in l_all_workers:
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#self.sum_salary = np.sum()
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sum_salary = self.salary
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for the_worker in l_all_workers:
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sum_salary += the_worker.salary
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return
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def S_Profit(self):
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# self.s_profit =self.LogitShare() * EnvironmentAgent.s_e_Irevenue - self.Sum_salary()
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def s_profit(self):
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# ?
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self.s_profit = self.logit_share() * self.p.e_revenue - self.sum_salary()
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return
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def step(self):
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'''
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更新三个集合：
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首先，判断员工i在企业j第t时期的l_applied_workers列表里；
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第二步，判断企业j 的s_IsRH是0或者是1；
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如果是1，则将应聘员工中s_w_yield最大的员工从l_applied_workers列表转移到l_senior_workers或l_junior_workers列表；
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否则（即如果是0），则计算每名员工如果进入企业，下一期企业利润的提升max的员工，
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从l_applied_workers列表转移到l_senior_workers或l_junior_workers列表。
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'''
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pass
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44
worker.py
44
worker.py
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@ -2,16 +2,20 @@ import math
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import agentpy as ap
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from random import uniform, randint
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from firm import FirmAgent
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# 编程可以自动补充一些东西，减少报错
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from typing import TYPE_CHECKING
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if TYPE_CHECKING:
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from firm import FirmAgent
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class WorkerAgent(ap.Agent):
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select_firm: object
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c_effort: float
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s_is_hired: bool
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c_work_months: int
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# c_work_months: int
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s_work_duration: int
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working_firm: FirmAgent
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working_firm: 'FirmAgent'
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s_salary: float
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s_yield: float
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# s_w_applied: bool
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@ -21,9 +25,13 @@ class WorkerAgent(ap.Agent):
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# super().__init__(unique_id, model)
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# self.num_workers = 10000
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self.c_effort = uniform(0, 1)
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self.c_work_months = randint(0, 60)
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# self.c_work_months = randint(0, 60)
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self.s_is_hired = False
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self.s_work_duration = randint(0, 60)
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self.c_alpha = alpha
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self.update_yield()
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self.s_salary = 0
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# return
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# def A_Utility(self, c_w_weight=0.5):
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@ -57,21 +65,29 @@ class WorkerAgent(ap.Agent):
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best_firm.apply(self)
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return best_firm
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def salary(self, the_firm: FirmAgent):
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'''
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如果员工首次受到雇佣，薪资 = 某公司初始薪资
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如果员工更换了公司， 薪资 = 原薪资 * （1+c_incentive）
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? 换公司
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:return:
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'''
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def update_wd_by_is_hired(self):
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if self.s_is_hired == 1:
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self.s_work_duration += 1
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self.update_yield()
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self.update_salary()
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def update_salary(self, the_firm: 'FirmAgent'):
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if self.s_salary == 0:
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self.s_salary = the_firm.initial_f_salary
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pass
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else:
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self.s_salary = self.s_salary * (1 + the_firm.c_incentive)
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pass
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def update_yield(self):
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self.s_yield = 2 / (1 + math.exp(-0.01 * self.s_work_duration * self.c_effort)) - 1
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def update_working_firm_is_hired(self, f: 'FirmAgent'):
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self.s_is_hired = True
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self.working_firm = f
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def step(self):
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if self.s_is_hired == 1:
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self.s_work_duration +=1
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self.s_yield = 2 / (1 + math.exp(-0.01 * self.s_work_duration * self.c_effort)) - 1
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self.update_wd_by_is_hired()
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'''
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是否更换公司成功的状态转换？
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'''
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